Senior Backend API Data Developer - Armis : Job Details

Senior Backend API Data Developer

Armis

Job Location : all cities,NJ, USA

Posted on : 2025-05-03T00:48:23Z

Job Description :

Join to apply for the Senior Backend API Data Developer role at Armis.

We are seeking a highly skilled, motivated, and independent Senior Backend API Data Developer to join the VIPR Product Group within Armis. Our team operates as a start-up—fast-paced and agile, yet backed by a leading cybersecurity company. You will play a critical role in building and scaling data pipelines that support solutions addressing key cybersecurity challenges.

Our mission is to revolutionize vulnerability management, risk prioritization, and resolution through innovative solutions leveraging cutting-edge technologies, including AI for deduplication, contextual enrichment, and root cause analysis, empowering security practitioners to anticipate and mitigate vulnerabilities.

If you thrive in dynamic environments where your work impacts critical security operations and enjoy solving complex problems with modern data technologies, we invite you to join our growing, high-performing team. This is a unique opportunity to be part of a fast-growing pre-IPO cybersecurity startup.

What you'll do:

  • Design, build, and maintain scalable data pipelines and infrastructure for large data volumes.
  • Develop robust ETL processes for data extraction, transformation, and loading into our data warehouse.
  • Optimize workflows for performance, reliability, and scalability.
  • Implement data quality monitoring and validation for accuracy and consistency.
  • Collaborate with frontend engineers to integrate data-driven features.
  • Stay updated on emerging data engineering technologies and propose innovative solutions.
  • US Citizen (based in US) - Required
  • 5+ years experience as a Software Engineer or similar, focusing on data pipelines and infrastructure, with hands-on Python programming using libraries like Pydantic, MongoDB, FastAPI, Redis, Pandas, NumPy, Spark - Required
  • 3+ years experience with MongoDB handling large datasets (terabytes) - Required
  • Strong understanding of database systems and query optimization.
  • Experience with cloud platforms, especially AWS (S3, ECS, SQS).
  • Experience with large-scale distributed systems and parallel processing frameworks.
  • Solid data modeling skills, with excellent problem-solving and communication abilities.

    • Salary range: $163,000 - $195,000

    Note: Compensation may include additional benefits such as stipends, bonuses, stocks, health insurance, etc. Visit our careers site for more info on benefits.

    Additional details:
    • Seniority level: Mid-Senior level
    • Employment type: Full-time
    • Industries: Computer and Network Security, Software Development
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